2 papers
cs.CL2024
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
Xiangru Zhu, Penglei Sun, Yaoxian Song +6
Accurate interpretation and visualization of human instructions are crucial for text-to-image (T2I) synthesis. However, current models struggle to capture semantic variations from…
cs.IR2024
Towards Coarse-grained Visual Language Navigation Task Planning Enhanced by Event Knowledge Graph
Zhao Kaichen, Song Yaoxian, Zhao Haiquan +3
Visual language navigation (VLN) is one of the important research in embodied AI. It aims to enable an agent to understand the surrounding environment and complete navigation tasks…